Evidence map›Paper›PMID 35652194›Full record

ArticlePsychiatric services (Washington, D.C.)2023

Informatics Research on Mental Health Functioning: Decision Support for the Social Security Administration Disability Program.

Howard H Goldman, Julia Porcino, Guy Divita, Ayah Zirikly, Bart Desmet, Maryanne Sacco, Elizabeth Marfeo, Christine McDonough, Elizabeth Rasch, Leighton Chan

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Psychiatric services (Washington, D.C.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 94% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Howard H GoldmanRehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland (all authors); Department of Psychiatry, University of Maryland School of Medicine, Baltimore (Goldman); Department of Computer Science, Johns Hopkins University, Baltimore (Zirikly); Department of Occupational Therapy, Tufts University, Medford, Massachusetts (Marfeo); Department of Physical Therapy, University of Pittsburgh, Pittsburgh (McDonough).
Julia PorcinoRehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland (all authors); Department of Psychiatry, University of Maryland School of Medicine, Baltimore (Goldman); Department of Computer Science, Johns Hopkins University, Baltimore (Zirikly); Department of Occupational Therapy, Tufts University, Medford, Massachusetts (Marfeo); Department of Physical Therapy, University of Pittsburgh, Pittsburgh (McDonough).
Guy DivitaRehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland (all authors); Department of Psychiatry, University of Maryland School of Medicine, Baltimore (Goldman); Department of Computer Science, Johns Hopkins University, Baltimore (Zirikly); Department of Occupational Therapy, Tufts University, Medford, Massachusetts (Marfeo); Department of Physical Therapy, University of Pittsburgh, Pittsburgh (McDonough).
Ayah ZiriklyRehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland (all authors); Department of Psychiatry, University of Maryland School of Medicine, Baltimore (Goldman); Department of Computer Science, Johns Hopkins University, Baltimore (Zirikly); Department of Occupational Therapy, Tufts University, Medford, Massachusetts (Marfeo); Department of Physical Therapy, University of Pittsburgh, Pittsburgh (McDonough).
Bart DesmetRehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland (all authors); Department of Psychiatry, University of Maryland School of Medicine, Baltimore (Goldman); Department of Computer Science, Johns Hopkins University, Baltimore (Zirikly); Department of Occupational Therapy, Tufts University, Medford, Massachusetts (Marfeo); Department of Physical Therapy, University of Pittsburgh, Pittsburgh (McDonough).
Maryanne SaccoRehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland (all authors); Department of Psychiatry, University of Maryland School of Medicine, Baltimore (Goldman); Department of Computer Science, Johns Hopkins University, Baltimore (Zirikly); Department of Occupational Therapy, Tufts University, Medford, Massachusetts (Marfeo); Department of Physical Therapy, University of Pittsburgh, Pittsburgh (McDonough).
Elizabeth MarfeoRehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland (all authors); Department of Psychiatry, University of Maryland School of Medicine, Baltimore (Goldman); Department of Computer Science, Johns Hopkins University, Baltimore (Zirikly); Department of Occupational Therapy, Tufts University, Medford, Massachusetts (Marfeo); Department of Physical Therapy, University of Pittsburgh, Pittsburgh (McDonough).
Christine McDonoughRehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland (all authors); Department of Psychiatry, University of Maryland School of Medicine, Baltimore (Goldman); Department of Computer Science, Johns Hopkins University, Baltimore (Zirikly); Department of Occupational Therapy, Tufts University, Medford, Massachusetts (Marfeo); Department of Physical Therapy, University of Pittsburgh, Pittsburgh (McDonough).
Elizabeth RaschRehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland (all authors); Department of Psychiatry, University of Maryland School of Medicine, Baltimore (Goldman); Department of Computer Science, Johns Hopkins University, Baltimore (Zirikly); Department of Occupational Therapy, Tufts University, Medford, Massachusetts (Marfeo); Department of Physical Therapy, University of Pittsburgh, Pittsburgh (McDonough).
Leighton ChanRehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland (all authors); Department of Psychiatry, University of Maryland School of Medicine, Baltimore (Goldman); Department of Computer Science, Johns Hopkins University, Baltimore (Zirikly); Department of Occupational Therapy, Tufts University, Medford, Massachusetts (Marfeo); Department of Physical Therapy, University of Pittsburgh, Pittsburgh (McDonough).
University of Maryland, Baltimore · US

Funding

Analyzing the SSA Disability Evaluation ProcessZIACL060065 · CLC · CLINICAL CENTER · PI CHAN, LEIGHTON · 2009 to 2025
$0k
Intramural NIH HHS ZIA CL060065
6 · The paper itself

Abstract

The disability determination process of the Social Security Administration's (SSA's) disability program requires assessing work-related functioning for individual claimants alleging disability due to mental impairment. This task is particularly challenging because the determination process involves the review of a large file of information, including objective medical evidence and self-reports from claimants, families, and former employers. To improve this decision-making process, SSA entered an interagency agreement with the Rehabilitation Medicine Department, Epidemiology and Biostatistics Section, in the Clinical Center of the National Institutes of Health, intending to use data science and informatics to develop decision support tools. This collaborative effort over the past decade has led to the development of the Work Disability-Functional Assessment Battery and has initiated an approach to applying natural language processing to the review of claimants' files for information on mental health functioning. This informatics research collaboration holds promise for improving the process of disability determination for individuals with mental impairments who make claims at the SSA.

Indexed as

Mental HealthPersons with DisabilitiesDisability EvaluationHumansInformaticsSocial SecurityUnited StatesUnited States Social Security AdministrationComputer technologyDisability evaluationMental health functioningSocial Security

Identifiers

PMID35652194
PMCPMC10501504
OpenAlexW4281803752

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.